Stefano Nichele

Scientific publications

Valderhaug, Vibeke Devold; Ramstad, Ola Huse; van de Wijdeven, Rosanne Francisca; Heiney, Kristine ; Nichele, Stefano ; Sandvig, Axel; Sandvig, Ioanna (2024). Micro-and mesoscale aspects of neurodegeneration in engineered human neural networks carrying the LRRK2 G2019S mutation. Frontiers in Cellular Neuroscience. Vol. 18.
https://doi.org/10.3389/fncel.2024.1366098

Jain, Sanyam; Shrestha, Aarati; Nichele, Stefano (2024). Capturing Emerging Complexity in Lenia. Villani, Marco; Cagnoni, Stefano; Serra, Roberto (Ed.). Artificial Life and Evolutionary Computation. WIVACE 2023.. p. 41-53. Springer.
https://doi.org/https://doi.org/10.1007/978-3-031-

Glover, Tom Eivind ; Jahren, Ruben; Francesco, Martinuzzi; Lind, Pedro ; Nichele, Stefano (2024). A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks. International Journal of Parallel, Emergent and Distributed Systems.
https://doi.org/10.1080/17445760.2024.2396334

Pietropolli, Gloria; Nichele, Stefano ; Medvet, Eric (2024). The Role of the Substrate in CA-based Evolutionary Algorithms. Li, Xiandong; Handl, Julia (Ed.). GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference. p. 768-777. Association for Computing Machinery (ACM).
https://doi.org/https://doi.org/10.1145/3638529.36

Jain, Sanyam; Nichele, Stefano (2024). Frequency-Histogram Coarse Graining in Elementary and 2-Dimensional Cellular Automata. Nordic Machine Intelligence (NMI). Vol. 3.
https://doi.org/10.5617/nmi.10458

Farner, Jørgen Jensen; Huse Ramstad, Ola; Nichele, Stefano ; Heiney, Kristine (2024). Local Delay Plasticity Supports Generalized Learning in Spiking Neural Networks. Villani, Marco; Cagnoni, Stefano; Serra, Roberto (Ed.). Artificial Life and Evolutionary Computation. WIVACE 2023.. p. 241-255. Springer.
https://doi.org/https://doi.org/10.1007/978-3-031-

Nichele, Stefano (2023). IEEE Conference Proceedings: 2023 3rd International Conference on Applied Artificial Intelligence (ICAPAI). ISBN: 9798350328929. 100 p. IEEE conference proceedings.

Pierro, Alessandro; Heiney, Kristine ; Shrivastava, Shamit; Marcucci, Gulia; Nichele, Stefano (2023). Optimization of a Hydrodynamic Computational Reservoir through Evolution. Silva, Sara; Paquete, Luis (Ed.). GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. p. 202-210. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3583131.3590355

Glover, Tom Eivind ; Lind, Pedro ; Yazidi, Anis ; Osipov, Evgeny; Nichele, Stefano (2023). Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark. 42 p. Complex Systems. Vol. 32.
https://doi.org/10.25088/ComplexSystems.32.3.309

Glover, Tom Eivind ; Jahren, Christian Ruben; Huse Ramstad, Ola; Nichele, Stefano (2023). Minimum Equivalence in Random Boolean Networks, Elementary Cellular Automata, and Beyond. Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel (Ed.). ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. p. 100-108. MIT Press.
https://doi.org/https://doi.org/10.1162/isal_a_005

Research reports

Heiney, Kristine ; Nichele, Stefano ; Sandvig, Ioanna; Tufte, Gunnar (2023). Deciphering and emulating neuronal communication: Population-level computation from elemental interactions. 70 p. NTNU.

Heiney, Kristine Anne ; Nichele, Stefano (2023). Deciphering and emulating neuronal communication: Population-level computation from elemental interactions. ISBN: 978-82-326-7140-3. 204 p. Norges teknisk-naturvitenskapelige universitet.

Pontes Filho, Sidney; Nichele, Stefano ; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Sandvig, Ioanna; Tufte, Gunnar (2023). Optimization of dynamical systems towards criticality and intelligent behavior. ISBN: 978-82-326-6953-0. 179 p. Norges teknisk-naturvitenskapelige universitet.

Variengien, Alexandre; Pontes Filho, Sidney; Glover, Tom Eivind ; Nichele, Stefano (2021). Towards Self-organized Control: Using Neural Cellular Automata to Robustly Control a Cart-pole Agent. 14 p. Innovations in Machine Intelligence, Crosslabs, Vol. 1/2021. Vol. 1. doi: 10.54854/imi2021.01

De Domenico, Manlio; Brockmann, Dirk; Camargo, Chico; Gershenson, Carlos; Goldsmith, Daniel; Jeschonnek, Sabine; Kay, Lorren; Nichele, Stefano ; Nicolas, José; Schmickl, Thomas; Stella, Massimo; Brandoff, Josh; Martínez Salinas, Ángel José; Sayama, Hiroki (2019). Complexity Explained. 20 p. github.
https://complexityexplained.github.io/ComplexityEx

Nichele, Stefano ; Molund, Andreas (2017). Deep Reservoir Computing Using Cellular Automata. 9 p. arXiv preprint, arXiv:1703.02806 [cs.NE].
https://arxiv.org/pdf/1703.02806.pdf

Nichele, Stefano ; Gundersen, Magnus (2017). Reservoir Computing Using Non-Uniform Binary Cellular Automata. 9 p. arXiv preprint, arXiv:1702.03812v1 [cs.ET].
https://arxiv.org/pdf/1702.03812.pdf

Nichele, Stefano ; Tufte, Gunnar (2015). Evolvability, Complexity and Scalability of Cellular Evolutionary and Developmental Systems. ISBN: 978-82-326-0730-3. 160 p. NTNU-trykk.

Dissemination

Ramstad, Ola Huse; Wijdeven, Rosanne Francisca van de; Heiney, Kristine ; Nichele, Stefano ; Sandvig, Axel; Sandvig, Ioanna (2024). MICRO- AND MESOSCALE ASPECTS OF NEURODEGENERATION IN MULTI-NODAL HUMAN NEURAL NETWORKS CARRYING THE LRRK2 G2019S MUTATION. AD/PD24TM: 18th International Conference on Alzheimers & Parkinsons Disease . Kenes Group.

Nichele, Stefano (2024). In-vitro models for NeuroAI. Validating models: How would success in NeuroAI look like?. CCSE - Center for Computing in Science Education, UiO.
https://www.mn.uio.no/ccse/english/about/news-and-

Ramstad, Ola Huse; Wijdeven, Rosanne Francisca van de; Heiney, Kristine ; Nichele, Stefano ; Sandvig, Axel; Sandvig, Ioanna (2024). MICRO- AND MESOSCALE ASPECTS OF NEURODEGENERATION IN MULT-NODAL HUMAN NEURAL NETWORKS CARRYING THE LRRK2 G2019S MUTATION. AD/PD24TM: 18th International Conference on Alzheimers & Parkinsons Disease. Kenes Group .

Reimers, Felix Simon; Huse Ramstad, Ola; Sæbø, Solve; Sandvig, Axel; Sandvig, Ioanna; Nichele, Stefano (2024). Examination of Computational Performance of Biological Neural Networks with Reservoir Computing. NORA annual conference 2024. NORA.ai.

Nichele, Stefano (2024). What’s a Machine? From In-Silico to In-Vitro AI. NORA annual conference 2024. NORA.ai.

Reimers, Felix Simon; Huse Ramstad, Ola; Sæbø, Solve; Sandvig, Axel; Sandvig, Ioanna; Nichele, Stefano (2024). Performance of C.Elegans Connectomes as Computational Reservoirs. NORA NeuroAI Workshop . NORA.ai NeuroAI SIG.

Farner, Jørgen Jensen; Huse Ramstad, Ola; Nichele, Stefano ; Heiney, Kristine (2023). Beyond weight plasticity: Local learning with propagation delays in spiking neural networks. WIVACE 2023 XVII International Workshop on Artificial Life and Evolutionary Computation.

Heiney, Kristine Anne ; Józsa, Mónika; Rule, Michael; Nichele, Stefano ; O'Leary, Timothy (2023). Encoding of behaviour by pairwise neuronal interactions correlates with representational drift. Causes and Implications of Representational Drift. Janelia Research Campus.

Heiney, Kristine Anne ; Józsa, Mónika; Rule, Michael; Nichele, Stefano ; O'Leary, Timothy (2023). Neural correlations, information, and representational drift. Causes and Implications of Representational Drift.

Jain, Sanyam; Shrestha, Aarati; Nichele, Stefano (2023). Capturing Emerging Complexity in Lenia. WIVACE 2023 XVII International Workshop on Artificial Life and Evolutionary Computation.